基于思维进化算法的可用输电能力计算

Available Transfer Capability Calculation Based on Mind Evolution Algorithm

构建了基于最优潮流的可用输电能力计算模型,计及系统静态安全约束,采用思维进化算法求解该模型。针对思维进化算法在实际计算中存在的问题,对该算法进行改进。以IEEE-30节点测试系统为例进行仿真计算,分别对算法主要参数子群大小S、临时子群个数N、方差大小σd的不同取值进行可用输电能力计算,在综合考虑结果准确性和计算快速性的基础上,确定适合本文的计算参数。与采用Benders分解法、标准遗传算法(SGA)、免疫遗传算法(IGA)得到的结果进行对比分析,分析结果表明该算法用于ATC计算的可行性和有效性。

This paper presented a computation model of Available Transfer Capability（ATC） based on Optimal Power Flows（OPF）.The static security constraints of system are considered.A Mind Evolution Algorithm（MEA） is employed to solve this model.For the problems of Mind Evolution Algorithm in the practical computation,the algorithm is improved.The presented method is studied on IEEE-30 bus system.The main parameters of the algorithm — the size of subgroups（S）,the number of temporary subgroups（N） and the size of variance（σd） are defined for the different values to calculate Available Transfer Capability.On the basis of general considering the accuracy of the results and the rapid of calculation,the fit parameters of this paper are determined.Comparing with results gained by Benders decomposition、Standard Genetic Algorithm（SGA） and Immune Genetic Algorithm（IGA）,the results demonstrate the feasibility and the validity of this proposed algorithm.